Instructions to use Salesforce/codet5p-110m-embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salesforce/codet5p-110m-embedding with Transformers:
# Load model directly from transformers import CodeT5p_Embedding model = CodeT5p_Embedding.from_pretrained("Salesforce/codet5p-110m-embedding", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ecc2503bb8ec1dec783e9ec0cd0f11c002e0a53e45dd466db0c40c871d99a20a
- Size of remote file:
- 439 MB
- SHA256:
- 097d1bd8c5df11eb82aa5b750d208eee17d570babf94c77158279dc992c6829b
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